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https://issues.apache.org/jira/browse/SPARK-10644?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14933323#comment-14933323
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Balagopal Nair commented on SPARK-10644:
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I'm guessing you're trying to figure out whether the executors were not
allocated because there was not enough RAM. If that was the case, under full
load, the executors would still try to run but will die with an out of memory
error. With 512m per executor, i did not have any memory issues and the
cluster ran fine under full load. I don't think the issue is related to memory.
> Applications wait even if free executors are available
> ------------------------------------------------------
>
> Key: SPARK-10644
> URL: https://issues.apache.org/jira/browse/SPARK-10644
> Project: Spark
> Issue Type: Bug
> Components: Scheduler
> Affects Versions: 1.5.0
> Environment: RHEL 6.5 64 bit
> Reporter: Balagopal Nair
> Priority: Minor
>
> Number of workers: 21
> Number of executors: 63
> Steps to reproduce:
> 1. Run 4 jobs each with max cores set to 10
> 2. The first 3 jobs run with 10 each. (30 executors consumed so far)
> 3. The 4 th job waits even though there are 33 idle executors.
> The reason is that a job will not get executors unless
> the total number of EXECUTORS in use < the number of WORKERS
> If there are executors available, resources should be allocated to the
> pending job.
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